Journal of building engineering最新文献

{"title":"A macroscopic peridynamic approach for glulam embedment failure simulations","authors":"Zhan Shu ,&nbsp;Xinyi Gan ,&nbsp;Jinwei Xie ,&nbsp;Zili Dai ,&nbsp;Zheng Li","doi":"10.1016/j.jobe.2025.112587","DOIUrl":"10.1016/j.jobe.2025.112587","url":null,"abstract":"<div><div>Joint designs are of utmost importance to ensure the stability and safety of timber building structures. Modern timber connections typically utilize various metal connectors, such as the dowel-type fasteners. However, modern connections demonstrate complex failure behaviors because of material anisotropy. This paper proposed a 2D bond-based peridynamic method to analyze the deformation and crack propagation in anisotropic timber building structural members. The new peridynamic constitutive model introduces two micro-modulus functions dependent on bond direction. This approach was subsequently applied, for the first time in peridynamics, to evaluate the mechanical behavior of dowel-type connections. Dowel bearing tests were designed to obtain reference experimental data for 20-mm and 24-mm dowels under loading directions of 0° and 90°. Subsequently, the effectiveness of the proposed approach was demonstrated by comparing the simulated results with the experimental findings. Finally, by leveraging the benefits of peridynamic theory, the effects of higher-speed loadings were numerically evaluated, offering references for the experimentally challenging situations. The research findings indicate that the proposed peridynamic model for timber members accurately captures the failure results, load-bearing capacity, and mechanical behavior in dowel-bearing tests. This demonstrates the unique advantages of peridynamics while analyzing complicated wood failure problems.</div></div>","PeriodicalId":15064,"journal":{"name":"Journal of building engineering","volume":"106 ","pages":"Article 112587"},"PeriodicalIF":6.7,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143807834","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Preparation and Comprehensive Performance Optimization of Green Insulation Building Materials Based on Blast Furnace Slag","authors":"Zhang Lei ,&nbsp;Wang Qi ,&nbsp;Lei Zhang ,&nbsp;Jia Yang ,&nbsp;Zou Zhuorui","doi":"10.1016/j.jobe.2025.112591","DOIUrl":"10.1016/j.jobe.2025.112591","url":null,"abstract":"<div><div>In this study, blast furnace slag (BFS) was employed to prepare insulation materials via alkali activation and foaming. The alkali activation mechanism and the effect of processing conditions on material properties were investigated using techniques such as FT-IR, XRD, SEM-EDS, TG-DSC, BET, and XPS. The results showed that: (1) The alkali activation process can be divided into four stages: dissolution, depolymerization, polymerization, and condensation. (2) The material exhibits a type IV adsorption-desorption isotherm, with mesopores uniformly distributed in the range of 50-500 μm; (3) Compared to unmodified and solely thermally treated samples, after modification with PP fibers (12 mm in length at 1.2 wt%) and calcination at 400 °C for 2 h, the compressive strength of the PP fiber-modified material reached 0.89 MPa-a 4.93-fold increase-while that of the biomass fiber-modified material reached 0.85 MPa, representing a 4.67-fold improvement; (4) Following waterproof treatment, the material exhibited an average contact angle of 125.15°, average volumetric water absorption of 8.2%, and thermal conductivity of 0.042 W/(m·K), which is 27.59% lower than that of the untreated material. The material meets the performance requirements in terms of thermal conductivity, compressive strength, density, high-temperature resistance, corrosion resistance, and freeze-thaw durability, demonstrating excellent environmental characteristics and offering a novel approach to sustainable development in the construction and steel industries as well as achieving the \"Carbon Peaking and Carbon Neutrality \" targets.</div></div>","PeriodicalId":15064,"journal":{"name":"Journal of building engineering","volume":"106 ","pages":"Article 112591"},"PeriodicalIF":6.7,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143800408","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrating industry foundation classes and knowledge graphs for automated deconstruction planning","authors":"Amr S. Allam,&nbsp;Mazdak Nik-Bakht","doi":"10.1016/j.jobe.2025.112564","DOIUrl":"10.1016/j.jobe.2025.112564","url":null,"abstract":"<div><div>Decarbonizing the built environment and urbanization have driven a surge in demolitions, resulting in significant waste generation. While deconstruction offers a more sustainable alternative by enabling material reuse, demolition remains the dominant practice due to its short-term benefits. Facilitating the shift from demolition to deconstruction requires rigorous planning and the elimination of key barriers that hinder implementation, including challenges related to information, knowledge, execution, and automation. To this end, the present study aims to integrate Industry Foundation Classes (IFC) and Knowledge Graphs (KGs) to enhance deconstruction planning and support its broader adoption. The framework comprises three modules, i.e., (i) ‘IFCDecon’, which automates the extraction of IFC data and generates deconstruction-related information; (ii) ‘DeconKG’, which processes this information and creates a deconstruction knowledge graph (DKG); and (iii) ‘DeconPlanner’, which generates deconstruction schedules and offers a verification step through 4D simulations. The framework was tested on two benchmark case studies and demonstrated significant potential for advancing automated deconstruction planning., Additionally, the framework's functionalities were evaluated against industry-driven barriers to ensure practical applicability. The proposed framework offers a practical solution for deconstruction contractors by automating deconstruction planning through IFC data and providing 4D simulations. Its potential for rapid market adoption is driven by increasing demand for deconstruction, fueled by rising home renovations and the global push for eco-friendly building practices. Furthermore, integrating the framework with retrofit assessment tools could enhance decision-making by offering a holistic view of both deconstruction and post-renovation performance, ultimately improving project lifecycle management.</div></div>","PeriodicalId":15064,"journal":{"name":"Journal of building engineering","volume":"106 ","pages":"Article 112564"},"PeriodicalIF":6.7,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143799955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Experimental and numerical research on the seismic performance of precast composite shear walls with metallic-lead viscoelastic dampers","authors":"Xiaojun Zhu ,&nbsp;Shuting Liang ,&nbsp;Jian Yang ,&nbsp;Longji Dang ,&nbsp;Tianhao Shen ,&nbsp;Yinjie Lu","doi":"10.1016/j.jobe.2025.112530","DOIUrl":"10.1016/j.jobe.2025.112530","url":null,"abstract":"<div><div>As the application of precast shear walls has become increasingly widespread, challenges such as limited deformation capacity and difficulty in post-earthquake repair have emerged as critical issues. To address these limitations, metallic-lead viscoelastic dampers (MLVDs) have been integrated into precast shear walls, resulting in the development of a precast composite shear wall system with MLVDs (PCSM). This study systematically investigates the seismic performance of PCSM through a combination of experimental research, theoretical analysis, and numerical simulation. The quasi-static test results reveal that the PCSM demonstrates a full hysteretic curve with strong deformation capacity, achieving a maximum drift ratio of 3.3 %, which significantly exceeds the requirements of the current code. Additionally, the MLVDs effectively dissipate seismic energy throughout all deformation stages, with energy dissipation contributions reaching up to 72.89 % under small deformations, serving as the first line of seismic defence for the primary structure. Moreover, a load-bearing capacity calculation method for the PCSM is developed, and the accuracy of the proposed calculation method is validated through experimental results. Finally, numerical simulations are further conducted to analyze the effects of key parameters, including the concrete compressive strength (<em>f</em>_c), axial compression ratio (<em>n</em>_c), and number of vertical seams (<em>n</em>_v), on the seismic performance of PCSM. The recommended values for these parameters are also determined by comparing the numerical and theoretical results. Overall, the findings of this study demonstrate that the application of MLVDs can effectively enhance the seismic performance and post-earthquake reparability of precast shear walls, and this research could lay a solid foundation for engineering applications for PCSM.</div></div>","PeriodicalId":15064,"journal":{"name":"Journal of building engineering","volume":"106 ","pages":"Article 112530"},"PeriodicalIF":6.7,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143817252","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A coupling framework for impact-induced progressive collapse analysis of RC frame structures","authors":"Yun Zhou ,&nbsp;Ting Li ,&nbsp;Fan Yi ,&nbsp;Fei-Fan Feng ,&nbsp;Jing-Ming Sun ,&nbsp;Wei-Jian Yi","doi":"10.1016/j.jobe.2025.112517","DOIUrl":"10.1016/j.jobe.2025.112517","url":null,"abstract":"<div><div>The progressive collapse resistance of reinforced concrete (RC) frame structures under impact-induced column removal (ICR) is a critical yet underexplored area in structural engineering. This study proposes a novel coupling framework to integrate the impact response of frame columns with the progressive collapse behavior of RC frame structures. Utilizing validated finite element (FE) models, the framework employs the resistance curve of frame structures as a boundary condition for analyzing the downward pulling force exerted by impacted columns. This force is then applied as a time-varying external load to evaluate the progressive collapse response of frame substructures. Results demonstrate that the proposed framework achieves consistent displacement responses at beam-column joints compared to direct ICR analysis. The downward pulling force significantly amplifies structural deformation, increasing collapse risk compared to nominal column removal (NCR). Additionally, an approximate dynamic analysis method based on the work-energy principle is introduced to assess progressive collapse resistance under impact loading. The findings underscore the importance of considering impact effects in progressive collapse analysis, offering practical insights for safer structural design.</div></div>","PeriodicalId":15064,"journal":{"name":"Journal of building engineering","volume":"106 ","pages":"Article 112517"},"PeriodicalIF":6.7,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143792598","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Towards the use of data-driven methods for indoor airflow field reconstruction: A systematic review","authors":"Ana Claudinne Olivas,&nbsp;Jurng-Jae Yee","doi":"10.1016/j.jobe.2025.112581","DOIUrl":"10.1016/j.jobe.2025.112581","url":null,"abstract":"<div><div>Indoor airflow field reconstruction is vital for ensuring a safe and healthy environment for indoor occupants as people spend more than 90 % of their time indoors. This requires understanding indoor airflow dynamics, which is crucial for efficient and effective heating, ventilation, and air conditioning. This review highlights the emergence, applications, advantages, and limitations of data-driven methods within the context of indoor airflow field reconstruction. Findings show that traditional methods such as computational fluid dynamics, zonal, and multizone modelling remain trusted for indoor airflow field reconstruction. However, in 2019, the pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) led to the urgent exploration of data-driven methods (DDMs) to address the concerns of high computational cost and time. This gave rise to new challenges, such as the need for large training datasets and addressing the black-box nature of data-driven methods, which can affect user trust and the adaptability of these methods to other domains. Furthermore, while adoption of DDMs grows, there is still a lack of standardized evaluation frameworks, given their largely empirical nature. Future research can investigate DDMs towards enhancing the robustness, scalability, and interpretability of data-driven methods for indoor airflow field reconstruction.</div></div>","PeriodicalId":15064,"journal":{"name":"Journal of building engineering","volume":"106 ","pages":"Article 112581"},"PeriodicalIF":6.7,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143807837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparative study on filter and wrapper methods for selecting ground motion intensity measures in machine learning-based seismic damage assessment of urban reinforced concrete frame structures","authors":"Xiaoyan Song,&nbsp;Xiaowei Cheng,&nbsp;Yi Li,&nbsp;Ruijie Guo,&nbsp;Zihan Liang,&nbsp;Senna Wang,&nbsp;Haoyou Zhang","doi":"10.1016/j.jobe.2025.112515","DOIUrl":"10.1016/j.jobe.2025.112515","url":null,"abstract":"<div><div>Reliable intensity measures (IMs) are essential for machine learning (ML)-based structural seismic damage assessment because they capture critical ground motion characteristics relevant to structural damage. The inherent randomness of ground motions and the structural diversity of urban buildings require a subset of IMs instead of a single IM for large-scale seismic damage assessments to enhance the predictive accuracy of ML models. A comparative study of filter and wrapper methods was conducted to identify optimal subsets of IMs tailored for reinforced concrete (RC) frame structures in urban building clusters. The process involved: 1) constructing a structural damage database for typical urban RC frames through seismic response analyses on established simplified numerical models; 2) establishing a comprehensive set of IMs, comprising 34 IMs proposed by the authors and 49 collected from literature; 3) evaluating individual IMs using filter methods based on criteria such as correlation, efficiency, practicality, and proficiency, selecting top-ranked IMs, and organizing them into distinct subsets; 4) using wrapper methods, such as forward selection, backward elimination, and genetic algorithm, to initially select subsets of IMs, which were iteratively refined based on the performance of ML models to achieve optimal accuracy; 5) comparing the performance of the subsets derived from filter and wrapper methods, identifying those with acceptable accuracy and the smallest number of IMs; 6) validating the best-performing subsets through seismic damage assessments of three campus buildings. The framework was demonstrated using extreme gradient boosting (XGBoost) and random forest as representative ML algorithms. The performance of filter and wrapper methods was evaluated across various types and scales of IM sets. Applicable scenarios for each method were analyzed considering predictive accuracy and efficiency, and critical subsets of IMs were recommended for ML-based seismic damage prediction of urban RC frame structures. The results provide reliable and efficient decision support for post-earthquake damage assessment of urban buildings, as well as valuable references for fragility analysis of individual structures.</div></div>","PeriodicalId":15064,"journal":{"name":"Journal of building engineering","volume":"106 ","pages":"Article 112515"},"PeriodicalIF":6.7,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143792601","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effect of the transversal stirrups on the distribution of the natural non-uniform chloride-induced corrosion along the longitudinal steel reinforcement","authors":"Wenjun ZHU ,&nbsp;Fan TANG ,&nbsp;Yi R.E.N. ,&nbsp;Hechao ZHOU ,&nbsp;Linwen YU ,&nbsp;Raoul FRANÇOIS","doi":"10.1016/j.jobe.2025.112555","DOIUrl":"10.1016/j.jobe.2025.112555","url":null,"abstract":"<div><div>This paper investigates the spatial distribution of the natural non-uniform chloride-induced corrosion in the longitudinal steel reinforcement at the intersection with the stirrups. The X-ray computed tomography (CT) was employed to perform non-destructive test on specimens and gain insights into the corrosion. The extracted data were applied to analyze the influence of stirrups on the corrosion distribution along the longitudinal reinforcement. The results indicate that the presence of stirrups leads to an overall reduction in the corrosion level of the adjacent longitudinal reinforcement<em>.</em> Moreover, the corrosion of longitudinal reinforcement appears to be concentrated at the side far away from the stirrup leading to more in-depth penetration of corrosion. The research could be helpful for the durability design of the reinforced concrete constructions in an aggressive environment.</div></div>","PeriodicalId":15064,"journal":{"name":"Journal of building engineering","volume":"106 ","pages":"Article 112555"},"PeriodicalIF":6.7,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143807832","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effects of indoor plants on perceptions about indoor air quality and subjective well-being","authors":"Mümüne Selen Abbasoğlu ,&nbsp;İbrahim Kahramanoğlu","doi":"10.1016/j.jobe.2025.112563","DOIUrl":"10.1016/j.jobe.2025.112563","url":null,"abstract":"<div><div>This research investigates how indoor plant species influence perceptions of indoor air quality (IAQ), relative humidity (RH) and subjective well-being (SWB) in office environments within the Mediterranean climate context. While the positive effects of indoor plants have been widely documented, there is limited understanding of how these effects vary in region-specific contexts, such as the Mediterranean climate. A structured survey was conducted with 400 participants in Northern Cyprus. Respondents evaluated 15 selected indoor plant species using a semantic differential scale and scored each plant on characteristics such as beauty, healthiness, and relaxation, as well as perceived impacts on IAQ, RH, and SWB. Multiple regression analyses showed that plants with higher “healthy” and “relaxing” scores were perceived to improve IAQ and RH most significantly. Principal component analysis (PCA) further identified these traits as key drivers of positive plant assessment. Orchids and kumquat were identified as the most preferred species, offering notable psychological and environmental benefits. These results contribute to the literature by addressing a key research gap and offering insights into the broader understanding of how indoor plants can enhance built environments, with findings derived from a Mediterranean climate context. This research provides original insights into perception-based evaluation of plant impacts and addresses a key gap in the literature concerning plant use in Mediterranean built environments.</div></div>","PeriodicalId":15064,"journal":{"name":"Journal of building engineering","volume":"106 ","pages":"Article 112563"},"PeriodicalIF":6.7,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143792596","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mechanical and shrinkage properties of engineered cementitious composites with blended use of high-belite sulphoaluminate cement and ordinary Portland cement","authors":"Wuyou Luo ,&nbsp;Yizhuo Liu ,&nbsp;Jiakang Lv ,&nbsp;Hanyong Liu ,&nbsp;Hedong Li ,&nbsp;Wenhua Chen","doi":"10.1016/j.jobe.2025.112551","DOIUrl":"10.1016/j.jobe.2025.112551","url":null,"abstract":"<div><div>Engineered cementitious composites (ECCs) are often considered potential ideal structure repair materials. However, conventional ordinary Portland cement (OPC)-based ECC generally has the disadvantages of high shrinkage and slow early strength development, which restricts the effectiveness and efficiency of engineered repairs. To solve these problems, this study introduced high-belite sulphoaluminate cement (HBCSA) to replace or partially replace OPC to promote the overall performance of OPC-ECC. XRD, TG, MIP, and SEM analyses were used to examine the resulting changes in microstructure and hydration composition and their effects on the properties of ECCs. Results showed that while HBCSA cement enhanced the early compressive strength (improved from 13.6 MPa to 27.7 MPa at 3 d), the later strength development was postponed by the higher HBCSA substitution rate due to the fly ash's reactivity being reduced by the matrix's decreased alkalinity. HBCSA cement reduced the setting time and drying shrinkage of ECC by virtue of its rapid hydration reaction and the compensatory shrinkage of its hydration product, ettringite. When the HBCSA cement content was increased from 50 % to 100 %, the initial setting time was shortened by 65.9 %–80.6 % and the drying shrinkage at 28 d was decreased by 60.6 %–75.2 % compared to OPC-ECC. Furthermore, while all ECC blends exhibited strain-hardening behaviors, blended cement ECC has superior tensile properties. This study shows that the judicious use of HBCSA cement can effectively compensate for the weaknesses of conventional ECC and make it more adaptable to restoration projects.</div></div>","PeriodicalId":15064,"journal":{"name":"Journal of building engineering","volume":"106 ","pages":"Article 112551"},"PeriodicalIF":6.7,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143792602","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}